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Multiple Object Tracking: Studying Sustained Visual Attention
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Recent Advances in Stochastic Sensor Control for Multi-Object Tracking.

Sabita Panicker1, Amirali Khodadadian Gostar1, Alireza Bab-Hadiashar1

  • 1School of Engineering, RMIT University, Victoria 3083, Australia.

Sensors (Basel, Switzerland)
|September 5, 2019
PubMed
Summary
This summary is machine-generated.

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This review surveys advancements in stochastic sensor control for multi-object tracking. It categorizes existing methods and highlights selective sensor control for precise object detection and tracking.

Area of Science:

  • Robotics and Control Systems
  • Computer Vision
  • Signal Processing

Background:

  • Multi-object tracking often involves sensors with controllable states, such as movable sensors or unmanned air vehicles (UAVs).
  • Challenges include uncertainties in object counts, false alarms, and detection inaccuracies, complicating sensor control.
  • Existing solutions aim for precise sensor control in dynamic multi-object environments.

Purpose of the Study:

  • To comprehensively review recent contributions to stochastic sensor control for multi-object detection and tracking.
  • To provide an overview of the sensor control problem and its key components.
  • To categorize and review existing sensor control methods, including novel approaches.

Main Methods:

  • Systematic literature review of sensor control techniques in multi-object tracking.
Keywords:
PHD filtermulti-Bernoulli filtermulti-target trackingrandom finite setsstochastic sensor control

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  • Categorization of existing methods based on their approaches and applications.
  • Analysis of selective sensor control as a recent advancement.

    • Main Results:

    • Identification and categorization of diverse sensor control strategies.
    • Highlighting the emergence of selective sensor control for targeted tracking.
    • Synthesis of the current state-of-the-art in controllable sensor applications.

    Conclusions:

    • The field of stochastic sensor control for multi-object tracking is rapidly evolving.
    • Selective sensor control offers a promising direction for enhanced tracking accuracy.
    • Further research is needed to address complex uncertainties and optimize control strategies.